# Onuralp Sezer

Senior Machine Learning Engineer Lv2 @ Ultralytics

## Summary
Seasoned Machine Learning Engineer with expertise in Python, Kotlin, C++, and Rust. Passionate about the dynamic fields of Computer Vision, Machine Learning, and Deep Learning. Strong foundation in DevOps and MLOps, ensuring seamless deployment, automation, and scalability of cutting-edge solutions.

Specializes in building, optimizing, and deploying state-of-the-art Computer Vision models. From training YOLO architectures at Ultralytics to optimizing inference with ONNX, TensorRT, and ExecuTorch, bridging the gap between research and production.

Currently exploring Vision-Language Models (VLMs), Edge AI, and Rust-based ML inference.

## Key Projects
- **Ultralytics**: Core contributor to the Ultralytics YOLO framework for object detection, segmentation, and classification.
- **SAHI**: Slicing Aided Hyper Inference framework for small object detection.
- **Supervision**: Robust and highly-performant set of utilities for writing reusable computer vision tools.
- **Tracking/TrackForge**: Target tracking algorithms and tools.

## Skills & Frameworks
- **Languages**: Python, Kotlin, C++, Rust
- **ML/DL**: PyTorch, ONNX, TensorRT, ExecuTorch
- **Focus**: Computer Vision, ML/DL, MLOps, DevOps

## Community Involvement
- Active contributor to Fedora Project
- Active contributor to openSUSE
- Active contributor to OpenCV
- GDG Samsun organizer
- Hacktoberfest participant

## Profiles
- LinkedIn: https://www.linkedin.com/in/onuralpsezer/
- GitHub: https://github.com/onuralpszr

## Contact
You can reach me via email or LinkedIn.